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Why Mathematics is Essential for Data Science and Machine Learning

insideBIGDATA

Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI. In this feature article, Daniel D.

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A Practical Guide to Deploying Machine Learning Models

Machine Learning Mastery

As a data scientist, you probably know how to build machine learning models. But it’s only when you deploy the model that you get a useful machine learning solution. And if you’re looking to learn more about deploying machine learning models, this guide is for you.

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Combining Machine Learning and Homomorphic Encryption in the Apple Ecosystem

Machine Learning Research at Apple

Of course, a user may request on-device experiences powered by machine learning (ML) that can be enriched by looking up global knowledge hosted on servers. By performing computations locally on a user’s device, we help minimize the amount of data that is shared with Apple or other entities.

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Building a Robust Machine Learning Pipeline: Best Practices and Common Pitfalls

Machine Learning Mastery

In real life, the machine learning model is not a standalone object that only produces a prediction. We need the machine learning (ML) pipeline to operate the model and deliver value. It is part of an extended system that can only provide values if we manage it together.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Industries in Focus: Machine Learning in Finance

Machine Learning Mastery

In recent years, the finance industry has been experiencing significant changes, with artificial intelligence and machine learning (ML) playing an increasingly important role.

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Using Machine Learning in Customer Segmentation

Machine Learning Mastery

Now, machine learning has changed this process. Machine learning algorithms can analyze large amounts of data. In this article, we will explore how machine learning improves customer segmentation. In the past, businesses grouped customers based on simple things like age or gender.